A python3 module for maximum entropy models on networks.
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Updated
Jun 17, 2024 - Python
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null-models
Here are 10 public repositories matching this topic...
Randomization of presence/absence species distribution raster data for calculating standardized effect sizes and testing null hypothesis.
randomization
raster
spatial
rstats
spatial-analysis
species-distribution-modelling
rstats-package
null-models
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Oct 22, 2024 - R
data-science
systems-biology
network-science
information-extraction
systems-pharmacology
null-models
network-medicine
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Updated
Nov 4, 2024 - Python
Introduction to basic network measurements and working with null models in Networkx.
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Jun 29, 2021 - Jupyter Notebook
Functions to perform the restricted null model described in Felix et al 2017 (DOI: 10.1101/236687).
network-science
publications
networks
monte-carlo-simulation
modularity
papers
network-analysis
mathematical-modelling
nestedness
network-topologies
null-models
compound-topology
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Nov 5, 2024 - R
MCMC algorithms to sample random bipartite graphs with given left and right degree sequences and BJDM.
data-science
data-mining
knowledge-discovery
data-mining-algorithms
hypothesis-testing
pattern-mining
random-network-generator
monte-carlo-markov-chain
null-models
knowledge-discovery-from-data
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Updated
Oct 4, 2024 - Jupyter Notebook
Code for trait based simulations of network structure and case study
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Updated
Sep 29, 2021 - R
Null Models for Labeled Multi-graphs
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Updated
Aug 11, 2024 - Python
Commented codes for the IHS model.
topology
network-science
publications
rstats
modularity
papers
network-visualization
network-analysis
mathematical-modelling
nestedness
network-topologies
null-models
compound-topology
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Mar 14, 2019 - R
How to create randomized matrices in R for analyzing in Pajek.
analysis
matrix
network-science
monte-carlo-simulation
network-analysis
pajek
null-models
randomized-matrices
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Updated
Dec 10, 2018 - R
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